Pricing Experiment Planner
Design pricing and packaging experiments to optimize revenue and user growth
The Pricing Experiment Planner helps you design structured, data-driven pricing tests that uncover optimal revenue strategies for your product. Whether you're considering new pricing tiers, bundling offers, or paywall models, this tool supports end-to-end experiment planning — from segmentation to statistical validation — to ensure your monetization decisions drive both growth and profitability.
What is the Pricing Experiment Planner?
This app empowers product and growth teams to plan controlled pricing experiments with confidence. It enables you to:
- Design A/B or multivariate pricing tests for different pricing structures, feature bundles, and upsell mechanics
- Target specific user segments to reduce risk and increase relevance
- Monitor key metrics like ARPU, churn, acquisition cost, and conversion rate with clear hypotheses and thresholds
- Simulate potential revenue impact before rollout
With built-in rigor and clarity, you'll reduce guesswork and maximize the business impact of your monetization experiments.
Why use this tool?
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💰 Revenue Optimization
Discover your product’s pricing sweet spot to increase ARPU without hurting retention or growth. -
📊 Evidence-Based Strategy
Eliminate subjective pricing decisions. Base changes on hard data, validated through statistically sound testing. -
🚀 User Growth Balance
Experiment with tradeoffs between conversion rates and revenue per user to find sustainable pricing strategies. -
🧪 Experiment Design Clarity
Define variants, metrics, and user cohorts upfront. Reduce the risk of inconclusive or biased results.
How it works
- Input your current pricing, user segments, and experiment goals
- Receive a structured test plan, including variants, sample sizes, and statistical methods
- Launch, track, and analyze using the actionable recommendations provided
What you'll need to provide
To generate an effective pricing test plan, prepare:
- Current Pricing Structure (tiers, bundles, freemium, etc.)
- Experiment Goals (increase ARPU, reduce churn, test packaging, etc.)
- User Segments (e.g., free users, churned customers, by geography)
- Constraints (technical limitations, minimum revenue guardrails, rollout limits)
- Baseline Metrics (current ARPU, conversion rate, churn, etc.)
- Target Product/Feature (optional, if pricing applies to only part of your suite)
Who it's for
- SaaS teams testing new monetization paths
- Product managers designing pricing experiments
- Growth leaders aiming to increase LTV
- Founders validating market pricing elasticity
Ready to get started?
Start using Pricing Experiment Planner to automate your tasks and streamline your workflow.